Sustainability of Edge AI at Scale: An empirical study on the sustainability of Edge AI in terms of energy consumption

Edge AI is an architectural deployment tactic that brings AI models closer to the user and data, relieving internet bandwidth usage and providing low latency and privacy. It remains unclear how this tactic performs at scale, since the distribution overhead could impact the total energy consumption. We identify four architectural scalability...

Graph Greenifier: Towards Sustainable and Energy-Aware Massive Graph Processing in the Computing Continuum

Our society is increasingly digital, and its processes are increasingly digitalized. As an emerging technology for the digital society, graphs provide a universal abstraction to represent concepts and objects, and the relationships between them. However, processing graphs at a massive scale raises numerous sustainability challenges; becoming...

Energy-aware Wireless Multi-hop Networks

Wireless networks have provided us a variety of services which facilitate communication between people beyond the physical boundaries. Mobile telephony, mobile Internet and high-deffnition video calls are examples of services supported by modern networks nowadays. Beyond this, enhancements in processing capabilities of electronic devices coupled...